{"id":77543,"date":"2026-07-06T08:22:18","date_gmt":"2026-07-06T08:22:18","guid":{"rendered":"https:\/\/www.sigmainfo.net\/case-studies\/aufbau-eines-ki-gestuetzten-lending-analytics-assistenten-auf-snowflake\/"},"modified":"2026-09-09T10:58:04","modified_gmt":"2026-09-09T10:58:04","slug":"aufbau-eines-ki-gestuetzten-lending-analytics-assistenten-auf-snowflake","status":"publish","type":"case-studies","link":"https:\/\/www.sigmainfo.net\/de\/case-studies\/aufbau-eines-ki-gestuetzten-lending-analytics-assistenten-auf-snowflake\/","title":{"rendered":"Aufbau eines KI-gest\u00fctzten Lending-Analytics-Assistenten auf Snowflake"},"content":{"rendered":"\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-m1iunukx-48f0c4e74aa4ccecb87431b1e7ced215\">\n#top .av-special-heading.av-m1iunukx-48f0c4e74aa4ccecb87431b1e7ced215{\npadding-bottom:10px;\n}\nbody .av-special-heading.av-m1iunukx-48f0c4e74aa4ccecb87431b1e7ced215 .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n.av-special-heading.av-m1iunukx-48f0c4e74aa4ccecb87431b1e7ced215 .av-subheading{\nfont-size:15px;\n}\n<\/style>\n<div  class='av-special-heading av-m1iunukx-48f0c4e74aa4ccecb87431b1e7ced215 av-special-heading-h1 blockquote modern-quote modern-centered'><h1 class='av-special-heading-tag'  itemprop=\"headline\"  >Aufbau eines KI-gest\u00fctzten Lending-Analytics-Assistenten auf Snowflake<\/h1><div class=\"special-heading-border\"><div class=\"special-heading-inner-border\"><\/div><\/div><\/div>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-1ifn2cj-705325db918af87c2a90147a9ba33eca\">\n#top .hr.av-1ifn2cj-705325db918af87c2a90147a9ba33eca{\nmargin-top:10px;\nmargin-bottom:10px;\n}\n.hr.av-1ifn2cj-705325db918af87c2a90147a9ba33eca .hr-inner{\nwidth:50px;\nborder-color:#8dc321;\n}\n<\/style>\n<div  class='hr av-1ifn2cj-705325db918af87c2a90147a9ba33eca hr-custom hr-center hr-icon-no'><span class='hr-inner inner-border-av-border-fat'><span class=\"hr-inner-style\"><\/span><\/span><\/div>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-mjb95j4v-b1d8e0c4761b7dbd01a055ff14a9643c\">\n.avia-image-container.av-mjb95j4v-b1d8e0c4761b7dbd01a055ff14a9643c img.avia_image{\nbox-shadow:none;\n}\n.avia-image-container.av-mjb95j4v-b1d8e0c4761b7dbd01a055ff14a9643c .av-image-caption-overlay-center{\ncolor:#ffffff;\n}\n<\/style>\n<div  class='avia-image-container av-mjb95j4v-b1d8e0c4761b7dbd01a055ff14a9643c av-styling- avia-align-center'   itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" ><div class=\"avia-image-container-inner\"><div class=\"avia-image-overlay-wrap\"><img decoding=\"async\" fetchpriority=\"high\" class='wp-image-77570 avia-img-lazy-loading-not-77570 avia_image ' src=\"https:\/\/www.sigmainfo.net\/wp-content\/uploads\/2026\/07\/Building-an-AI-Powered-Lending-Analytics-Assistant-on-Snowflake.webp\" alt='' title='Building an AI-Powered Lending Analytics Assistant on Snowflake'  height=\"627\" width=\"1200\"  itemprop=\"thumbnailUrl\" srcset=\"https:\/\/www.sigmainfo.net\/wp-content\/uploads\/2026\/07\/Building-an-AI-Powered-Lending-Analytics-Assistant-on-Snowflake.webp 1200w, https:\/\/www.sigmainfo.net\/wp-content\/uploads\/2026\/07\/Building-an-AI-Powered-Lending-Analytics-Assistant-on-Snowflake-300x157.webp 300w, https:\/\/www.sigmainfo.net\/wp-content\/uploads\/2026\/07\/Building-an-AI-Powered-Lending-Analytics-Assistant-on-Snowflake-1030x538.webp 1030w, https:\/\/www.sigmainfo.net\/wp-content\/uploads\/2026\/07\/Building-an-AI-Powered-Lending-Analytics-Assistant-on-Snowflake-768x401.webp 768w, https:\/\/www.sigmainfo.net\/wp-content\/uploads\/2026\/07\/Building-an-AI-Powered-Lending-Analytics-Assistant-on-Snowflake-705x368.webp 705w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/><\/div><\/div><\/div>\n<div  class='flex_column av-1gp7c4z-aadcb0ec890a28d0f286b485b501a9a0 av_one_half first flex_column_div  '     ><p>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-1e8ue8z-3df2b85e5c2daa70274d1d0d3be485dd\">\n#top .av-special-heading.av-1e8ue8z-3df2b85e5c2daa70274d1d0d3be485dd{\npadding-bottom:10px;\n}\nbody .av-special-heading.av-1e8ue8z-3df2b85e5c2daa70274d1d0d3be485dd .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n.av-special-heading.av-1e8ue8z-3df2b85e5c2daa70274d1d0d3be485dd .av-subheading{\nfont-size:15px;\n}\n<\/style>\n<div  class='av-special-heading av-1e8ue8z-3df2b85e5c2daa70274d1d0d3be485dd av-special-heading-h3 blockquote modern-quote  heading'><h3 class='av-special-heading-tag'  itemprop=\"headline\"  >\u00dcber den Kunden<\/h3><div class=\"special-heading-border\"><div class=\"special-heading-inner-border\"><\/div><\/div><\/div><br \/>\n<section  class='av_textblock_section av-m1iuoa18-7e12bca8e0896f808354334a386d6dca '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock'  itemprop=\"text\" ><p>Unser Kunde ist ein<strong> f\u00fchrender US-amerikanischer Fintech-Kreditgeber<\/strong>, der technologiegest\u00fctzte Finanzierungsl\u00f6sungen f\u00fcr kleine und mittelst\u00e4ndische Unternehmen anbietet.. Mit der Ausweitung des Kreditgesch\u00e4fts erzeugte das Unternehmen auf seiner Snowflake-Datenplattform zunehmend gr\u00f6\u00dfere Mengen an Daten aus Kreditvergabe, Kreditverwaltung, Portfoliomanagement und Kundeninteraktionen. Die Fachbereiche ben\u00f6tigten einen schnelleren Zugriff auf verl\u00e4ssliche Erkenntnisse, ohne f\u00fcr jede Reporting-Anfrage auf technische Ressourcen angewiesen zu sein.<\/p>\n<\/div><\/section><\/p><\/div>\n<div  class='flex_column av-1c4o743-7e32a0d62f54157280748352e4e7592d av_one_half flex_column_div  '     ><p>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-1brp5ub-c1ae2f4a9310749b172aa51acde4eaed\">\n#top .av-special-heading.av-1brp5ub-c1ae2f4a9310749b172aa51acde4eaed{\npadding-bottom:10px;\n}\nbody .av-special-heading.av-1brp5ub-c1ae2f4a9310749b172aa51acde4eaed .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n.av-special-heading.av-1brp5ub-c1ae2f4a9310749b172aa51acde4eaed .av-subheading{\nfont-size:15px;\n}\n<\/style>\n<div  class='av-special-heading av-1brp5ub-c1ae2f4a9310749b172aa51acde4eaed av-special-heading-h3 blockquote modern-quote  heading'><h3 class='av-special-heading-tag'  itemprop=\"headline\"  >Projekt\u00fcbersicht<\/h3><div class=\"special-heading-border\"><div class=\"special-heading-inner-border\"><\/div><\/div><\/div><br \/>\n<section  class='av_textblock_section av-m1iuokj2-534873d1b216c0d631296565599e067c '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock'  itemprop=\"text\" ><p><span style=\"font-weight: 400;\">Der Kunde hatte in ein modernes Snowflake Data Warehouse mit kuratierten Lending Data Marts investiert. Dennoch waren die Fachanwender weiterhin auf Analysten angewiesen, um SQL-Abfragen zu erstellen, Berichte zu generieren und operative Fragestellungen zu beantworten. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">Sigma arbeitete mit dem Kunden zusammen, um eine KI-gest\u00fctzte Conversational-Analytics-L\u00f6sung zu entwickeln, mit der Fachanwender Governance-konforme Kreditdaten sicher in nat\u00fcrlicher Sprache abfragen k\u00f6nnen. Die L\u00f6sung nutzt Snowflake Semantic Views, Cortex Analyst, Cortex Agents und wiederverwendbare Agent Skills, um pr\u00e4zise, nachvollziehbare und rollenbasierte Business Insights bereitzustellen und gleichzeitig die Enterprise Governance aufrechtzuerhalten. <\/span><\/p>\n<\/div><\/section><\/p><\/div>\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-19zshrn-3a79ef9054718e37d55af7bfeeab3e54\">\n.avia-section.av-19zshrn-3a79ef9054718e37d55af7bfeeab3e54{\nbackground-repeat:no-repeat;\nbackground-image:url(https:\/\/www.sigmainfo.net\/wp-content\/uploads\/2024\/07\/business-office-work-300x200.webp);\nbackground-position:50% 50%;\nbackground-attachment:fixed;\n}\n.avia-section.av-19zshrn-3a79ef9054718e37d55af7bfeeab3e54 .av-section-color-overlay{\nopacity:0.9;\nbackground-color:#35383c;\n}\n<\/style>\n<div id='av_section_1'  class='avia-section av-19zshrn-3a79ef9054718e37d55af7bfeeab3e54 main_color avia-section-default avia-no-border-styling avia-full-stretch avia-bg-style-fixed av-section-color-overlay-active container_wrap sidebar_right'  data-section-bg-repeat='stretch'><div class=\"av-section-color-overlay-wrap\"><div class=\"av-section-color-overlay\"><\/div><div class='container av-section-cont-open' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-77543'><div class='entry-content-wrapper clearfix'>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-m1iuovfd-88fc7cae1763854f846b607947bb3eb3\">\n#top .av-special-heading.av-m1iuovfd-88fc7cae1763854f846b607947bb3eb3{\npadding-bottom:10px;\ncolor:#ffffff;\n}\nbody .av-special-heading.av-m1iuovfd-88fc7cae1763854f846b607947bb3eb3 .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n.av-special-heading.av-m1iuovfd-88fc7cae1763854f846b607947bb3eb3 .special-heading-inner-border{\nborder-color:#ffffff;\n}\n.av-special-heading.av-m1iuovfd-88fc7cae1763854f846b607947bb3eb3 .av-subheading{\nfont-size:15px;\n}\n<\/style>\n<div  class='av-special-heading av-m1iuovfd-88fc7cae1763854f846b607947bb3eb3 av-special-heading-h2 custom-color-heading blockquote modern-quote modern-centered'><h2 class='av-special-heading-tag'  itemprop=\"headline\"  >Gesch\u00e4ftliche Herausforderungen<\/h2><div class=\"special-heading-border\"><div class=\"special-heading-inner-border\"><\/div><\/div><\/div>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-18n00qr-6a3dbf7812d73d8cf5a317770656c72e\">\n#top .hr.av-18n00qr-6a3dbf7812d73d8cf5a317770656c72e{\nmargin-top:10px;\nmargin-bottom:10px;\n}\n.hr.av-18n00qr-6a3dbf7812d73d8cf5a317770656c72e .hr-inner{\nwidth:50px;\nborder-color:#ffffff;\n}\n<\/style>\n<div  class='hr av-18n00qr-6a3dbf7812d73d8cf5a317770656c72e hr-custom hr-center hr-icon-no'><span class='hr-inner inner-border-av-border-fat'><span class=\"hr-inner-style\"><\/span><\/span><\/div>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-mn5omeqd-2f84221f175183d2f4824ef5ed23921b\">\n#top .av_textblock_section.av-mn5omeqd-2f84221f175183d2f4824ef5ed23921b .avia_textblock{\ncolor:#ffffff;\n}\n<\/style>\n<section  class='av_textblock_section av-mn5omeqd-2f84221f175183d2f4824ef5ed23921b '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock av_inherit_color'  itemprop=\"text\" ><p style=\"text-align: center;\"><span style=\"font-weight: 400;\">Der Kunde stand vor mehreren operativen und analytischen Herausforderungen:<\/span><\/p>\n<\/div><\/section>\n<div  class='flex_column av-15mm22b-1a0cba207d2e3710b2803059f04ae860 av_one_half first flex_column_div  '     ><style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-m1iusgrc-facca32c484bc1c3c29a1fd5350a20f4\">\n#top .avia-icon-list-container.av-m1iusgrc-facca32c484bc1c3c29a1fd5350a20f4 .iconlist_icon{\ncolor:#ffffff;\n}\n#top #wrap_all .avia-icon-list-container.av-m1iusgrc-facca32c484bc1c3c29a1fd5350a20f4 .av_iconlist_title{\ncolor:#ffffff;\n}\n.avia-icon-list-container.av-m1iusgrc-facca32c484bc1c3c29a1fd5350a20f4 .iconlist_content{\ncolor:#ffffff;\n}\n<\/style>\n<div  class='avia-icon-list-container av-m1iusgrc-facca32c484bc1c3c29a1fd5350a20f4'><ul class='avia-icon-list avia_animate_when_almost_visible avia-icon-list-left av-iconlist-small av-m1iusgrc-facca32c484bc1c3c29a1fd5350a20f4 avia-iconlist-animate'>\n<li><div class='iconlist_icon av-m1iurk5g-f8aa2f6ccd464cd3667d934f52e92126 avia-font-entypo-fontello'><span class='iconlist-char' aria-hidden='true' data-av_icon='\ue871' data-av_iconfont='entypo-fontello'><\/span><\/div><article class=\"article-icon-entry \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class=\"iconlist_content_wrap\"><header class=\"entry-content-header\"><\/header><div class='iconlist_content av_inherit_color'  itemprop=\"text\" ><p><span style=\"font-weight: 400;\">Fachanwender waren bei Ad-hoc-Reporting und SQL-basiertem Datenzugriff stark auf Analysten angewiesen.<\/span><\/p>\n<\/div><\/div><footer class=\"entry-footer\"><\/footer><\/article><div class=\"iconlist-timeline\"><\/div><\/li>\n<li><div class='iconlist_icon av-m1iurk5g-f8aa2f6ccd464cd3667d934f52e92126 avia-font-entypo-fontello'><span class='iconlist-char' aria-hidden='true' data-av_icon='\ue871' data-av_iconfont='entypo-fontello'><\/span><\/div><article class=\"article-icon-entry \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class=\"iconlist_content_wrap\"><header class=\"entry-content-header\"><\/header><div class='iconlist_content av_inherit_color'  itemprop=\"text\" ><p><span style=\"font-weight: 400;\">Kreditkennzahlen wurden in verschiedenen Berichten unterschiedlich interpretiert, was zu inkonsistenten gesch\u00e4ftlichen Erkenntnissen f\u00fchrte.<\/span><\/p>\n<\/div><\/div><footer class=\"entry-footer\"><\/footer><\/article><div class=\"iconlist-timeline\"><\/div><\/li>\n<li><div class='iconlist_icon av-m1iurk5g-f8aa2f6ccd464cd3667d934f52e92126 avia-font-entypo-fontello'><span class='iconlist-char' aria-hidden='true' data-av_icon='\ue871' data-av_iconfont='entypo-fontello'><\/span><\/div><article class=\"article-icon-entry \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class=\"iconlist_content_wrap\"><header class=\"entry-content-header\"><\/header><div class='iconlist_content av_inherit_color'  itemprop=\"text\" ><p><span style=\"font-weight: 400;\">Bestehenden KI-L\u00f6sungen fehlten Gesch\u00e4ftskontext und Governance, wodurch das Vertrauen in die generierten Antworten eingeschr\u00e4nkt wurde.<\/span><\/p>\n<\/div><\/div><footer class=\"entry-footer\"><\/footer><\/article><div class=\"iconlist-timeline\"><\/div><\/li>\n<\/ul><\/div><\/div><div  class='flex_column av-14mvmc3-94ecd77a5145ca2ce875c6cd6d0b72a2 av_one_half flex_column_div  '     ><style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-m1iut0dl-b53834f6590664e3c96905ea8589d535\">\n#top .avia-icon-list-container.av-m1iut0dl-b53834f6590664e3c96905ea8589d535 .iconlist_icon{\ncolor:#ffffff;\n}\n#top #wrap_all .avia-icon-list-container.av-m1iut0dl-b53834f6590664e3c96905ea8589d535 .av_iconlist_title{\ncolor:#ffffff;\n}\n.avia-icon-list-container.av-m1iut0dl-b53834f6590664e3c96905ea8589d535 .iconlist_content{\ncolor:#ffffff;\n}\n<\/style>\n<div  class='avia-icon-list-container av-m1iut0dl-b53834f6590664e3c96905ea8589d535'><ul class='avia-icon-list avia_animate_when_almost_visible avia-icon-list-left av-iconlist-small av-m1iut0dl-b53834f6590664e3c96905ea8589d535 avia-iconlist-animate'>\n<li><div class='iconlist_icon av-m1iuspr1-f39b0f75296daddea42c759f67f41354 avia-font-entypo-fontello'><span class='iconlist-char' aria-hidden='true' data-av_icon='\ue871' data-av_iconfont='entypo-fontello'><\/span><\/div><article class=\"article-icon-entry \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class=\"iconlist_content_wrap\"><header class=\"entry-content-header\"><\/header><div class='iconlist_content av_inherit_color'  itemprop=\"text\" ><p><span style=\"font-weight: 400;\">Technische Teams verbrachten einen erheblichen Teil ihrer Zeit mit wiederkehrenden Reporting-Anfragen, anstatt sich auf h\u00f6herwertige Analytics-Initiativen zu konzentrieren.<\/span><\/p>\n<\/div><\/div><footer class=\"entry-footer\"><\/footer><\/article><div class=\"iconlist-timeline\"><\/div><\/li>\n<li><div class='iconlist_icon av-m1iuspr1-f39b0f75296daddea42c759f67f41354 avia-font-entypo-fontello'><span class='iconlist-char' aria-hidden='true' data-av_icon='\ue871' data-av_iconfont='entypo-fontello'><\/span><\/div><article class=\"article-icon-entry \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class=\"iconlist_content_wrap\"><header class=\"entry-content-header\"><\/header><div class='iconlist_content av_inherit_color'  itemprop=\"text\" ><p><span style=\"font-weight: 400;\">Das Unternehmen ben\u00f6tigte ein skalierbares KI-Framework, das bestehende Sicherheitsrichtlinien und die Governance der Kreditdaten vollst\u00e4ndig ber\u00fccksichtigt.<\/span><\/p>\n<\/div><\/div><footer class=\"entry-footer\"><\/footer><\/article><div class=\"iconlist-timeline\"><\/div><\/li>\n<\/ul><\/div><\/div>\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div><\/div><div id='after_section_1'  class='main_color av_default_container_wrap container_wrap sidebar_right'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-77543'><div class='entry-content-wrapper clearfix'>\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-12xo9cj-6db17fdcfde9af76a16b67780c4c0c21\">\n.avia-section.av-12xo9cj-6db17fdcfde9af76a16b67780c4c0c21{\nbackground-color:#f2f2f2;\nbackground-image:unset;\n}\n<\/style>\n<div id='av_section_2'  class='avia-section av-12xo9cj-6db17fdcfde9af76a16b67780c4c0c21 main_color avia-section-default avia-no-border-styling avia-bg-style-scroll container_wrap sidebar_right'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-77543'><div class='entry-content-wrapper clearfix'>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-114cskj-f5f99d65b1d20dfdc7216557441b91c4\">\n#top .av-special-heading.av-114cskj-f5f99d65b1d20dfdc7216557441b91c4{\npadding-bottom:10px;\n}\nbody .av-special-heading.av-114cskj-f5f99d65b1d20dfdc7216557441b91c4 .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n.av-special-heading.av-114cskj-f5f99d65b1d20dfdc7216557441b91c4 .av-subheading{\nfont-size:15px;\n}\n<\/style>\n<div  class='av-special-heading av-114cskj-f5f99d65b1d20dfdc7216557441b91c4 av-special-heading-h2 blockquote modern-quote modern-centered'><h2 class='av-special-heading-tag'  itemprop=\"headline\"  >Unsere implementierten L\u00f6sungen<\/h2><div class=\"special-heading-border\"><div class=\"special-heading-inner-border\"><\/div><\/div><\/div>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-29kujif-53731baa11d63407fff8dbd8dbcfa708\">\n#top .hr.av-29kujif-53731baa11d63407fff8dbd8dbcfa708{\nmargin-top:10px;\nmargin-bottom:10px;\n}\n.hr.av-29kujif-53731baa11d63407fff8dbd8dbcfa708 .hr-inner{\nwidth:50px;\nborder-color:#8dc321;\n}\n<\/style>\n<div  class='hr av-29kujif-53731baa11d63407fff8dbd8dbcfa708 hr-custom hr-center hr-icon-no'><span class='hr-inner inner-border-av-border-fat'><span class=\"hr-inner-style\"><\/span><\/span><\/div>\n<section  class='av_textblock_section av-mn5oq0el-11c073fbc706c304f7371486bab296e5 '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock'  itemprop=\"text\" ><p style=\"text-align: center;\"><span style=\"font-weight: 400;\">Sigma konzipierte und implementierte eine Governance-konforme KI-Analytics-Plattform nativ in Snowflake. Dadurch k\u00f6nnen Mitarbeiter \u00fcber nat\u00fcrliche Sprache mit den unternehmensweiten Kreditdaten interagieren, w\u00e4hrend jede Antwort auf verl\u00e4sslichen und zentral definierten Gesch\u00e4ftsbegriffen basiert.<\/span><\/p>\n<p style=\"text-align: center;\"><span style=\"font-weight: 400;\">Die L\u00f6sung kombiniert:<\/span><\/p>\n<\/div><\/section>\n<div  class='flex_column av-m4we0fb-0eccaf60d5f4244d8d2b80e430dd94d1 av_one_half first flex_column_div  '     ><style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-mr8x7mqz-48543577e0e232d44648174a539b1eb2\">\n#top .avia-icon-list-container.av-mr8x7mqz-48543577e0e232d44648174a539b1eb2 .iconlist_icon{\ncolor:#000000;\n}\n#top #wrap_all .avia-icon-list-container.av-mr8x7mqz-48543577e0e232d44648174a539b1eb2 .av_iconlist_title{\ncolor:#000000;\n}\n.avia-icon-list-container.av-mr8x7mqz-48543577e0e232d44648174a539b1eb2 .iconlist_content{\ncolor:#000000;\n}\n<\/style>\n<div  class='avia-icon-list-container av-mr8x7mqz-48543577e0e232d44648174a539b1eb2'><ul class='avia-icon-list avia_animate_when_almost_visible avia-icon-list-left av-iconlist-small av-mr8x7mqz-48543577e0e232d44648174a539b1eb2 avia-iconlist-animate'>\n<li><div class='iconlist_icon av-mr8x769u-a3b9e79159c3b5892748068e0f3d4a52 avia-font-entypo-fontello'><span class='iconlist-char' aria-hidden='true' data-av_icon='\ue871' data-av_iconfont='entypo-fontello'><\/span><\/div><article class=\"article-icon-entry \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class=\"iconlist_content_wrap\"><header class=\"entry-content-header\"><\/header><div class='iconlist_content av_inherit_color'  itemprop=\"text\" ><p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Kuratierte Lending Data Marts<\/span><\/p>\n<\/div><\/div><footer class=\"entry-footer\"><\/footer><\/article><div class=\"iconlist-timeline\"><\/div><\/li>\n<li><div class='iconlist_icon av-mr8x769u-a3b9e79159c3b5892748068e0f3d4a52 avia-font-entypo-fontello'><span class='iconlist-char' aria-hidden='true' data-av_icon='\ue871' data-av_iconfont='entypo-fontello'><\/span><\/div><article class=\"article-icon-entry \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class=\"iconlist_content_wrap\"><header class=\"entry-content-header\"><\/header><div class='iconlist_content av_inherit_color'  itemprop=\"text\" ><p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Snowflake Semantic Views<\/span><\/p>\n<\/div><\/div><footer class=\"entry-footer\"><\/footer><\/article><div class=\"iconlist-timeline\"><\/div><\/li>\n<li><div class='iconlist_icon av-mr8x769u-a3b9e79159c3b5892748068e0f3d4a52 avia-font-entypo-fontello'><span class='iconlist-char' aria-hidden='true' data-av_icon='\ue871' data-av_iconfont='entypo-fontello'><\/span><\/div><article class=\"article-icon-entry \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class=\"iconlist_content_wrap\"><header class=\"entry-content-header\"><\/header><div class='iconlist_content av_inherit_color'  itemprop=\"text\" ><p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Snowflake Cortex Analyst<\/span><\/p>\n<\/div><\/div><footer class=\"entry-footer\"><\/footer><\/article><div class=\"iconlist-timeline\"><\/div><\/li>\n<\/ul><\/div><\/div><div  class='flex_column av-lrg8baf-c4456b10ee5f1baffab764a7adc7afb3 av_one_half flex_column_div  '     ><style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-mr8x8ydv-fd73f41c708650e01f98b425e32fa4c6\">\n#top .avia-icon-list-container.av-mr8x8ydv-fd73f41c708650e01f98b425e32fa4c6 .iconlist_icon{\ncolor:#000000;\n}\n#top #wrap_all .avia-icon-list-container.av-mr8x8ydv-fd73f41c708650e01f98b425e32fa4c6 .av_iconlist_title{\ncolor:#000000;\n}\n.avia-icon-list-container.av-mr8x8ydv-fd73f41c708650e01f98b425e32fa4c6 .iconlist_content{\ncolor:#000000;\n}\n<\/style>\n<div  class='avia-icon-list-container av-mr8x8ydv-fd73f41c708650e01f98b425e32fa4c6'><ul class='avia-icon-list avia_animate_when_almost_visible avia-icon-list-left av-iconlist-small av-mr8x8ydv-fd73f41c708650e01f98b425e32fa4c6 avia-iconlist-animate'>\n<li><div class='iconlist_icon av-mr8x8jhe-5ec3723455d259ac7ef3983806d7f4d9 avia-font-entypo-fontello'><span class='iconlist-char' aria-hidden='true' data-av_icon='\ue871' data-av_iconfont='entypo-fontello'><\/span><\/div><article class=\"article-icon-entry \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class=\"iconlist_content_wrap\"><header class=\"entry-content-header\"><\/header><div class='iconlist_content av_inherit_color'  itemprop=\"text\" ><p><span style=\"font-weight: 400;\">Snowflake Cortex Agents<\/span><\/p>\n<\/div><\/div><footer class=\"entry-footer\"><\/footer><\/article><div class=\"iconlist-timeline\"><\/div><\/li>\n<li><div class='iconlist_icon av-mr8x8py8-4b924cfc1d350f4d57d42dfe552f7def avia-font-entypo-fontello'><span class='iconlist-char' aria-hidden='true' data-av_icon='\ue871' data-av_iconfont='entypo-fontello'><\/span><\/div><article class=\"article-icon-entry \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class=\"iconlist_content_wrap\"><header class=\"entry-content-header\"><\/header><div class='iconlist_content av_inherit_color'  itemprop=\"text\" ><p><span style=\"font-weight: 400;\">Wiederverwendbare Agent Skills<\/span><\/p>\n<\/div><\/div><footer class=\"entry-footer\"><\/footer><\/article><div class=\"iconlist-timeline\"><\/div><\/li>\n<li><div class='iconlist_icon av-mr8x8y0d-1e9db6a5832e900d5dede0296bb45fae avia-font-entypo-fontello'><span class='iconlist-char' aria-hidden='true' data-av_icon='\ue871' data-av_iconfont='entypo-fontello'><\/span><\/div><article class=\"article-icon-entry \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class=\"iconlist_content_wrap\"><header class=\"entry-content-header\"><\/header><div class='iconlist_content av_inherit_color'  itemprop=\"text\" ><p><span style=\"font-weight: 400;\">Native rollenbasierte Sicherheit und Governance<\/span><\/p>\n<\/div><\/div><footer class=\"entry-footer\"><\/footer><\/article><div class=\"iconlist-timeline\"><\/div><\/li>\n<\/ul><\/div><\/div><section  class='av_textblock_section av-mr8wrti5-02b29ab1319bcedfe2b8a1178908bdb5 '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock'  itemprop=\"text\" ><p style=\"text-align: center;\"><span style=\"font-weight: 400;\">Diese Architektur transformierte das bestehende Data Warehouse in eine intelligente Self-Service-Analytics-Plattform f\u00fcr Fachanwender.<\/span><\/p>\n<\/div><\/section>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-mr8wjfqx-ec3570ad711c650cb5872130e939e9c0\">\n#top .hr.hr-invisible.av-mr8wjfqx-ec3570ad711c650cb5872130e939e9c0{\nheight:50px;\n}\n<\/style>\n<div  class='hr av-mr8wjfqx-ec3570ad711c650cb5872130e939e9c0 hr-invisible'><span class='hr-inner '><span class=\"hr-inner-style\"><\/span><\/span><\/div>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-mr8wgkfn-73300fb1fc71359f6ba0096a667f2554\">\n#top .av-special-heading.av-mr8wgkfn-73300fb1fc71359f6ba0096a667f2554{\npadding-bottom:10px;\n}\nbody .av-special-heading.av-mr8wgkfn-73300fb1fc71359f6ba0096a667f2554 .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n.av-special-heading.av-mr8wgkfn-73300fb1fc71359f6ba0096a667f2554 .av-subheading{\nfont-size:15px;\n}\n<\/style>\n<div  class='av-special-heading av-mr8wgkfn-73300fb1fc71359f6ba0096a667f2554 av-special-heading-h2 blockquote modern-quote modern-centered'><h2 class='av-special-heading-tag'  itemprop=\"headline\"  >L\u00f6sungshighlights<\/h2><div class=\"special-heading-border\"><div class=\"special-heading-inner-border\"><\/div><\/div><\/div>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-ljky9nr-f4b92321fa9150ea37d563f086f079d0\">\n#top .hr.av-ljky9nr-f4b92321fa9150ea37d563f086f079d0{\nmargin-top:10px;\nmargin-bottom:10px;\n}\n.hr.av-ljky9nr-f4b92321fa9150ea37d563f086f079d0 .hr-inner{\nwidth:50px;\nborder-color:#8dc321;\n}\n<\/style>\n<div  class='hr av-ljky9nr-f4b92321fa9150ea37d563f086f079d0 hr-custom hr-center hr-icon-no'><span class='hr-inner inner-border-av-border-fat'><span class=\"hr-inner-style\"><\/span><\/span><\/div>\n<div  class='flex_column av-l49zqg7-55c6fcac80397959f587c73079a4d1a3 av_one_half first flex_column_div  '     ><style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-knwvbd3-efde2d571926a0fc97dbcdc23e456ee2\">\n#top .avia-icon-list-container.av-knwvbd3-efde2d571926a0fc97dbcdc23e456ee2 .iconlist_icon{\ncolor:#000000;\n}\n#top #wrap_all .avia-icon-list-container.av-knwvbd3-efde2d571926a0fc97dbcdc23e456ee2 .av_iconlist_title{\ncolor:#000000;\n}\n.avia-icon-list-container.av-knwvbd3-efde2d571926a0fc97dbcdc23e456ee2 .iconlist_content{\ncolor:#000000;\n}\n<\/style>\n<div  class='avia-icon-list-container av-knwvbd3-efde2d571926a0fc97dbcdc23e456ee2'><ul class='avia-icon-list avia_animate_when_almost_visible avia-icon-list-left av-iconlist-small av-knwvbd3-efde2d571926a0fc97dbcdc23e456ee2 avia-iconlist-animate'>\n<li><div class='iconlist_icon av-jv7cycn-a7f970145017855555abe274a7058ec4 avia-font-entypo-fontello'><span class='iconlist-char' aria-hidden='true' data-av_icon='\ue871' data-av_iconfont='entypo-fontello'><\/span><\/div><article class=\"article-icon-entry \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class=\"iconlist_content_wrap\"><header class=\"entry-content-header\"><\/header><div class='iconlist_content av_inherit_color'  itemprop=\"text\" ><h3><b>Governance-konforme semantische Datenschicht<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Sigma entwickelte eine semantische Datenschicht, die komplexe Kreditdatens\u00e4tze in standardisierte Gesch\u00e4ftskonzepte wie Kreditvergaben, Portfolio-Performance, Kundensegmente, Finanzierungsvolumen und regionale Performance \u00fcbersetzt. Durch die zentrale Definition von Kennzahlen schuf das Unternehmen eine konsistente Single Source of Truth f\u00fcr Reporting und KI-gest\u00fctzte Analysen. <\/span><\/p>\n<\/div><\/div><footer class=\"entry-footer\"><\/footer><\/article><div class=\"iconlist-timeline\"><\/div><\/li>\n<li><div class='iconlist_icon av-jequd47-71d9d249c61e10f97f4b69e7e8a2136e avia-font-entypo-fontello'><span class='iconlist-char' aria-hidden='true' data-av_icon='\ue871' data-av_iconfont='entypo-fontello'><\/span><\/div><article class=\"article-icon-entry \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class=\"iconlist_content_wrap\"><header class=\"entry-content-header\"><\/header><div class='iconlist_content av_inherit_color'  itemprop=\"text\" ><h3><b>Konversationelle KI f\u00fcr Fachanwender<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Die L\u00f6sung f\u00fchrte einen Snowflake Cortex Agent ein, der mithilfe von Cortex Analyst nat\u00fcrlichsprachliche Fragen in Governance-konforme SQL-Abfragen umwandeln kann.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Fachanwender konnten beispielsweise Fragen stellen wie:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Wie hoch war das Volumen ausgezahlter Kredite nach Region?<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Welches Kundensegment erzielte die h\u00f6chste Anzahl an Genehmigungen?<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Vergleiche die monatliche Portfolio-Performance.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Zeige die Kreditvergaben nach Produkt.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">ohne SQL schreiben zu m\u00fcssen oder von technischen Teams abh\u00e4ngig zu sein.<\/span><\/p>\n<\/div><\/div><footer class=\"entry-footer\"><\/footer><\/article><div class=\"iconlist-timeline\"><\/div><\/li>\n<\/ul><\/div><\/div><div  class='flex_column av-j1k166f-cbbebf4461e3debbee17f00ce653688f av_one_half flex_column_div  '     ><style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-mr4mmarc-ec05ff0a4005e351ed48743bf3f7fefa\">\n#top .avia-icon-list-container.av-mr4mmarc-ec05ff0a4005e351ed48743bf3f7fefa .iconlist_icon{\ncolor:#000000;\n}\n#top #wrap_all .avia-icon-list-container.av-mr4mmarc-ec05ff0a4005e351ed48743bf3f7fefa .av_iconlist_title{\ncolor:#000000;\n}\n.avia-icon-list-container.av-mr4mmarc-ec05ff0a4005e351ed48743bf3f7fefa .iconlist_content{\ncolor:#000000;\n}\n<\/style>\n<div  class='avia-icon-list-container av-mr4mmarc-ec05ff0a4005e351ed48743bf3f7fefa'><ul class='avia-icon-list avia_animate_when_almost_visible avia-icon-list-left av-iconlist-small av-mr4mmarc-ec05ff0a4005e351ed48743bf3f7fefa avia-iconlist-animate'>\n<li><div class='iconlist_icon av-mr4mlep6-93d7da87311bc177ea5a916746047079 avia-font-entypo-fontello'><span class='iconlist-char' aria-hidden='true' data-av_icon='\ue871' data-av_iconfont='entypo-fontello'><\/span><\/div><article class=\"article-icon-entry \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class=\"iconlist_content_wrap\"><header class=\"entry-content-header\"><\/header><div class='iconlist_content av_inherit_color'  itemprop=\"text\" ><h3><b>Intelligente Business-Workflows<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Sigma erweiterte den KI-Assistenten um wiederverwendbare Agent Skills, die h\u00e4ufige analytische Workflows wie Portfolio-Prognosen, Performance-Reviews, Trendanalysen und Abweichungsanalysen automatisieren. Diese standardisierten Workflows verbesserten die Konsistenz und reduzierten gleichzeitig den manuellen Aufwand f\u00fcr wiederkehrende Gesch\u00e4ftsanalysen. <\/span><\/p>\n<\/div><\/div><footer class=\"entry-footer\"><\/footer><\/article><div class=\"iconlist-timeline\"><\/div><\/li>\n<li><div class='iconlist_icon av-mr4mlep6-93d7da87311bc177ea5a916746047079 avia-font-entypo-fontello'><span class='iconlist-char' aria-hidden='true' data-av_icon='\ue871' data-av_iconfont='entypo-fontello'><\/span><\/div><article class=\"article-icon-entry \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class=\"iconlist_content_wrap\"><header class=\"entry-content-header\"><\/header><div class='iconlist_content av_inherit_color'  itemprop=\"text\" ><h3><b>Enterprise Governance und Sicherheit<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Die L\u00f6sung nutzt die nativen Governance-Funktionen von Snowflake, um sicherzustellen, dass KI-generierte Antworten bestehende rollenbasierte Zugriffskontrollen einhalten, sensible Kreditdaten sch\u00fctzen und zentralisierte Definitionen von Gesch\u00e4ftskennzahlen beibehalten. Dadurch werden sichere Self-Service-Analysen erm\u00f6glicht, ohne Compliance oder Datenintegrit\u00e4t zu beeintr\u00e4chtigen. <\/span><\/p>\n<\/div><\/div><footer class=\"entry-footer\"><\/footer><\/article><div class=\"iconlist-timeline\"><\/div><\/li>\n<\/ul><\/div><\/div>\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='after_section_2'  class='main_color av_default_container_wrap container_wrap sidebar_right'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-77543'><div class='entry-content-wrapper clearfix'>\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-v9rrwj-2d30f54f2e56256dc3943177643b9557\">\n.avia-section.av-v9rrwj-2d30f54f2e56256dc3943177643b9557{\nbackground-repeat:no-repeat;\nbackground-image:url(https:\/\/www.sigmainfo.net\/wp-content\/uploads\/2024\/07\/business-office-work-300x200.webp);\nbackground-position:50% 50%;\nbackground-attachment:fixed;\n}\n.avia-section.av-v9rrwj-2d30f54f2e56256dc3943177643b9557 .av-section-color-overlay{\nopacity:0.9;\nbackground-color:#35383c;\n}\n<\/style>\n<div id='av_section_3'  class='avia-section av-v9rrwj-2d30f54f2e56256dc3943177643b9557 main_color avia-section-default avia-no-border-styling avia-full-stretch avia-bg-style-fixed av-section-color-overlay-active container_wrap sidebar_right'  data-section-bg-repeat='stretch'><div class=\"av-section-color-overlay-wrap\"><div class=\"av-section-color-overlay\"><\/div><div class='container av-section-cont-open' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-77543'><div class='entry-content-wrapper clearfix'>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-sl2jtv-8478d98b21af511ed976a173fc0639d1\">\n#top .av-special-heading.av-sl2jtv-8478d98b21af511ed976a173fc0639d1{\npadding-bottom:10px;\ncolor:#ffffff;\n}\nbody .av-special-heading.av-sl2jtv-8478d98b21af511ed976a173fc0639d1 .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n.av-special-heading.av-sl2jtv-8478d98b21af511ed976a173fc0639d1 .special-heading-inner-border{\nborder-color:#ffffff;\n}\n.av-special-heading.av-sl2jtv-8478d98b21af511ed976a173fc0639d1 .av-subheading{\nfont-size:15px;\n}\n<\/style>\n<div  class='av-special-heading av-sl2jtv-8478d98b21af511ed976a173fc0639d1 av-special-heading-h2 custom-color-heading blockquote modern-quote modern-centered'><h2 class='av-special-heading-tag'  itemprop=\"headline\"  >Gesch\u00e4ftliche Auswirkungen<\/h2><div class=\"special-heading-border\"><div class=\"special-heading-inner-border\"><\/div><\/div><\/div>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-igle8x3-a4735e5a1d6fdfcac8fc53a4da761b61\">\n#top .hr.av-igle8x3-a4735e5a1d6fdfcac8fc53a4da761b61{\nmargin-top:10px;\nmargin-bottom:10px;\n}\n.hr.av-igle8x3-a4735e5a1d6fdfcac8fc53a4da761b61 .hr-inner{\nwidth:50px;\nborder-color:#ffffff;\n}\n<\/style>\n<div  class='hr av-igle8x3-a4735e5a1d6fdfcac8fc53a4da761b61 hr-custom hr-center hr-icon-no'><span class='hr-inner inner-border-av-border-fat'><span class=\"hr-inner-style\"><\/span><\/span><\/div>\n<div class='avia-data-table-wrap av-ibjbw4n-5736f2e15af83123c8175999aa2189fd avia_responsive_table avia-table-1'><table  class='avia-table avia-data-table avia_pricing_default  responsive-case-table'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/Table\" ><tbody><tr class='avia-heading-row'><th class=''>Gesch\u00e4ftsziel<\/th><th class=''>GESCH\u00c4FTLICHES ERGEBNIS<\/th><\/tr><tr class=''><td class=''><strong>Self-Service-Analytics<\/strong><\/td><td class=''>Fachanwender griffen \u00fcber nat\u00fcrliche Sprache auf Governance-konforme Kreditdaten zu<\/td><\/tr><tr class=''><td class=''><strong>Schnellere Entscheidungsfindung<\/strong> <\/td><td class=''>Geringere Abh\u00e4ngigkeit von Analysten bei routinem\u00e4\u00dfigen Reporting-Anfragen<\/td><\/tr><tr class=''><td class=''><strong>Konsistente KPIs<\/strong><\/td><td class=''>Zentrale semantische Definitionen standardisierten Gesch\u00e4ftskennzahlen team\u00fcbergreifend<\/td><\/tr><tr class=''><td class=''><strong>Verl\u00e4ssliche KI-Insights<\/strong><\/td><td class=''>Antworten wurden auf Grundlage Governance-konformer Unternehmensdaten statt aus Rohdatentabellen generiert<\/td><\/tr><tr class=''><td class=''><strong>H\u00f6here Produktivit\u00e4t<\/strong><\/td><td class=''>Technische Teams konnten sich auf strategische Analysen statt auf wiederkehrende Abfragen konzentrieren<\/td><\/tr><tr class=''><td class=''><strong>Skalierbare KI-Grundlage<\/strong><\/td><td class=''>Schaffung einer erweiterbaren Plattform f\u00fcr zuk\u00fcnftige KI-gest\u00fctzte Lending-Anwendungsf\u00e4lle<\/td><\/tr><\/tbody><\/table><\/div><style type='text\/css'>.avia-table-1 td:nth-of-type(1):before { content: 'Gesch\u00e4ftsziel'; } .avia-table-1 td:nth-of-type(2):before { content: 'GESCH\u00c4FTLICHES ERGEBNIS'; } <\/style>\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div><\/div><div id='after_section_3'  class='main_color av_default_container_wrap container_wrap sidebar_right'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-77543'><div class='entry-content-wrapper clearfix'>\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='av_section_4'  class='avia-section av-mgenw3-16b77dbdd603d642680dac82f649a9a7 main_color avia-section-default avia-no-border-styling avia-bg-style-scroll container_wrap sidebar_right'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-77543'><div class='entry-content-wrapper clearfix'>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-l29jbn-42f5ac0bb59bfd10a3f861e13476cfe4\">\n#top .av-special-heading.av-l29jbn-42f5ac0bb59bfd10a3f861e13476cfe4{\npadding-bottom:10px;\n}\nbody .av-special-heading.av-l29jbn-42f5ac0bb59bfd10a3f861e13476cfe4 .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n.av-special-heading.av-l29jbn-42f5ac0bb59bfd10a3f861e13476cfe4 .av-subheading{\nfont-size:15px;\n}\n<\/style>\n<div  class='av-special-heading av-l29jbn-42f5ac0bb59bfd10a3f861e13476cfe4 av-special-heading-h2 blockquote modern-quote modern-centered'><h2 class='av-special-heading-tag'  itemprop=\"headline\"  >Technologie-Stack<\/h2><div class=\"special-heading-border\"><div class=\"special-heading-inner-border\"><\/div><\/div><\/div>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-iurqmr-a5e376e26f41b1c9212552a09a6c216a\">\n#top .hr.av-iurqmr-a5e376e26f41b1c9212552a09a6c216a{\nmargin-top:10px;\nmargin-bottom:10px;\n}\n.hr.av-iurqmr-a5e376e26f41b1c9212552a09a6c216a .hr-inner{\nwidth:50px;\nborder-color:#8dc321;\n}\n<\/style>\n<div  class='hr av-iurqmr-a5e376e26f41b1c9212552a09a6c216a hr-custom hr-center hr-icon-no'><span class='hr-inner inner-border-av-border-fat'><span class=\"hr-inner-style\"><\/span><\/span><\/div>\n<div class='avia-data-table-wrap av-87bekkn-1fc9ac691fad1806107fe8018579aacd avia_responsive_table avia-table-2'><table  class='avia-table avia-data-table avia_pricing_default  responsive-case-table'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/Table\" ><tbody><tr class=''><td class='avia-center-col'>Snowflake<\/td><td class='avia-center-col'>Snowflake Agent Skills<\/td><\/tr><tr class=''><td class='avia-center-col'>Snowflake Semantic Views<\/td><td class='avia-center-col'>dbt<\/td><\/tr><tr class=''><td class='avia-center-col'>Snowflake Cortex Analyst<\/td><td class='avia-center-col'>SQL<\/td><\/tr><tr class=''><td class='avia-center-col'>Snowflake Cortex Agents<\/td><td class='avia-center-col'>Rollenbasierte Zugriffskontrolle (RBAC)<\/td><\/tr><\/tbody><\/table><\/div>\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='after_section_4'  class='main_color av_default_container_wrap container_wrap sidebar_right'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-77543'><div class='entry-content-wrapper clearfix'><\/div><\/div><\/div><!-- close content main div --><\/div><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-24sfepz-76c3cd65f0e44aaf051fc8c44db8b4ec\">\n.avia-section.av-24sfepz-76c3cd65f0e44aaf051fc8c44db8b4ec{\nbackground-repeat:no-repeat;\nbackground-image:url(https:\/\/www.sigmainfo.net\/wp-content\/uploads\/2024\/07\/business-office-work-300x200.webp);\nbackground-position:50% 50%;\nbackground-attachment:fixed;\n}\n.avia-section.av-24sfepz-76c3cd65f0e44aaf051fc8c44db8b4ec .av-section-color-overlay{\nopacity:0.9;\nbackground-color:#35383c;\n}\n<\/style>\n<div id='av_section_5'  class='avia-section av-24sfepz-76c3cd65f0e44aaf051fc8c44db8b4ec main_color avia-section-default avia-no-border-styling avia-full-stretch avia-bg-style-fixed av-section-color-overlay-active container_wrap sidebar_right'  data-section-bg-repeat='stretch'><div class=\"av-section-color-overlay-wrap\"><div class=\"av-section-color-overlay\"><\/div><div class='container av-section-cont-open' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-77543'><div class='entry-content-wrapper clearfix'>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-mr8w5p4a-939c30f36328d23423c6580abbf03d2e\">\n#top .av-special-heading.av-mr8w5p4a-939c30f36328d23423c6580abbf03d2e{\npadding-bottom:10px;\ncolor:#ffffff;\n}\nbody .av-special-heading.av-mr8w5p4a-939c30f36328d23423c6580abbf03d2e .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n.av-special-heading.av-mr8w5p4a-939c30f36328d23423c6580abbf03d2e .special-heading-inner-border{\nborder-color:#ffffff;\n}\n.av-special-heading.av-mr8w5p4a-939c30f36328d23423c6580abbf03d2e .av-subheading{\nfont-size:15px;\n}\n<\/style>\n<div  class='av-special-heading av-mr8w5p4a-939c30f36328d23423c6580abbf03d2e av-special-heading-h2 custom-color-heading blockquote modern-quote modern-centered'><h2 class='av-special-heading-tag'  itemprop=\"headline\"  >Fazit<\/h2><div class=\"special-heading-border\"><div class=\"special-heading-inner-border\"><\/div><\/div><\/div>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-1iqwvnr-933b38cdab5644537857718aba26b9a4\">\n#top .hr.av-1iqwvnr-933b38cdab5644537857718aba26b9a4{\nmargin-top:10px;\nmargin-bottom:10px;\n}\n.hr.av-1iqwvnr-933b38cdab5644537857718aba26b9a4 .hr-inner{\nwidth:50px;\nborder-color:#ffffff;\n}\n<\/style>\n<div  class='hr av-1iqwvnr-933b38cdab5644537857718aba26b9a4 hr-custom hr-center hr-icon-no'><span class='hr-inner inner-border-av-border-fat'><span class=\"hr-inner-style\"><\/span><\/span><\/div>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-mr8w69yo-9587f7a131a6b8c487941260d8779f46\">\n#top .av_textblock_section.av-mr8w69yo-9587f7a131a6b8c487941260d8779f46 .avia_textblock{\ncolor:#ffffff;\n}\n<\/style>\n<section  class='av_textblock_section av-mr8w69yo-9587f7a131a6b8c487941260d8779f46 '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock av_inherit_color'  itemprop=\"text\" ><p><span style=\"font-weight: 400;\">Sigma transformierte das Snowflake Data Warehouse des Kunden in eine KI-gest\u00fctzte Conversational-Analytics-Plattform, die den Zugang zu Lending Intelligence f\u00fcr Fachanwender deutlich vereinfachte. Durch die Kombination von Semantic Views, Cortex Analyst, Cortex Agents und wiederverwendbaren Agent Skills erm\u00f6glicht die L\u00f6sung Fachanwendern, verl\u00e4ssliche Erkenntnisse \u00fcber nat\u00fcrliche Sprache abzurufen und gleichzeitig Enterprise Governance, Sicherheit und konsistente Gesch\u00e4ftsdefinitionen aufrechtzuerhalten. Das Ergebnis ist eine skalierbare Grundlage f\u00fcr KI-gest\u00fctzte Entscheidungsfindung, die Reporting-Engp\u00e4sse reduziert und den Zugriff auf kritische Erkenntnisse aus dem Kreditgesch\u00e4ft beschleunigt. <\/span><\/p>\n<\/div><\/section>\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div><\/div><div id='after_section_5'  class='main_color av_default_container_wrap container_wrap sidebar_right'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-77543'><div class='entry-content-wrapper clearfix'><\/p>\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='av_section_6'  class='avia-section av-18ziufb-9d65afe668e9b9139e387567ed083fe5 main_color avia-section-default avia-no-border-styling avia-bg-style-scroll container_wrap sidebar_right'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-77543'><div class='entry-content-wrapper clearfix'>\n<section  class='av_textblock_section av-mr8w6nwx-b19418b0c8ae256de2a9af31d29fd5b0 '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock'  itemprop=\"text\" ><h2 style=\"text-align: center;\">Transformieren Sie Ihre Daten in umsetzbare Business Intelligence<\/h2>\n<\/div><\/section>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-rwssbr-68fb3891c6527fac15c29d673335e806\">\n#top .hr.av-rwssbr-68fb3891c6527fac15c29d673335e806{\nmargin-top:10px;\nmargin-bottom:10px;\n}\n.hr.av-rwssbr-68fb3891c6527fac15c29d673335e806 .hr-inner{\nwidth:50px;\nborder-color:#8dc321;\n}\n<\/style>\n<div  class='hr av-rwssbr-68fb3891c6527fac15c29d673335e806 hr-custom hr-center hr-icon-no'><span class='hr-inner inner-border-av-border-fat'><span class=\"hr-inner-style\"><\/span><\/span><\/div>\n<section  class='av_textblock_section av-mr8wdiyg-aba840ddc116032ed99c8006bbd109be '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock'  itemprop=\"text\" ><p style=\"text-align: center;\"><span style=\"font-weight: 400;\">Erfahren Sie, wie Sigmas Business-Intelligence- &amp; Analytics-Services Echtzeit-Dashboards, Governance-konforme Datenplattformen, KI-gest\u00fctzte Analysen und schnellere Entscheidungsprozesse erm\u00f6glichen.<\/span><\/p>\n<\/div><\/section>\n<div  class='avia-buttonrow-wrap av-mlte4l8s-948fa3ea7f34c65b6516570bf948f00b avia-buttonrow-center'>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-mlte4kkr-fa1aa6a40aa2506319b03ea8dea3c049\">\n#top #wrap_all .avia-button.av-mlte4kkr-fa1aa6a40aa2506319b03ea8dea3c049{\nmargin-bottom:5px;\nmargin-right:3px;\nmargin-left:3px;\n}\n<\/style>\n<a href='https:\/\/www.sigmainfo.net\/de\/bi-analytik\/'  class='avia-button av-mlte4kkr-fa1aa6a40aa2506319b03ea8dea3c049 avia-icon_select-no avia-size-small avia-color-green'  target=\"_blank\"  rel=\"noopener noreferrer\" ><span class='avia_iconbox_title' >Entdecken Sie Sigmas BI- &amp; Analytics-Entwicklungsservices<\/span><\/a>\n<\/div>\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='after_section_6'  class='main_color av_default_container_wrap container_wrap sidebar_right'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-77543'><div class='entry-content-wrapper clearfix'>\n","protected":false},"excerpt":{"rendered":"<p>Erfahren Sie, wie Sigma mit Snowflake Semantic Views, Cortex Agents und Cortex Analyst einen KI-gest\u00fctzten Lending-Analytics-Assistenten entwickelte, der einem f\u00fchrenden US-amerikanischen Fintech-Kreditgeber sichere Self-Service-Business-Intelligence erm\u00f6glicht.<\/p>\n","protected":false},"author":44,"featured_media":77569,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-77543","case-studies","type-case-studies","status-publish","has-post-thumbnail","hentry","case-studies-cat-bi-analytics","industries-financial-services","casestudies-vorgestellt"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Snowflake Cortex AI Data Agent Fallstudie | Sigma<\/title>\n<meta name=\"description\" content=\"Erfahren Sie, wie Sigma mit Snowflake Semantic Views, Cortex Agents und Cortex Analyst einen KI-gest\u00fctzten Lending-Analytics-Assistenten entwickelte, der einem f\u00fchrenden US-amerikanischen Fintech-Kreditgeber sichere Self-Service-Business-Intelligence erm\u00f6glicht.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, 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